Introduction
In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology.
A career in IBM Consulting is rooted by long-term relationships and close collaboration with clients across the globe.
You'll work with visionaries across multiple industries to improve the hybrid cloud and AI journey for the most innovative and valuable companies in the world. Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the IBM portfolio; including Software and Red Hat.
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Curiosity and a constant quest for knowledge serve as the foundation to success in IBM Consulting. In your role, you'll be encouraged to challenge the norm, investigate ideas outside of your role, and come up with creative solutions resulting in ground breaking impact for a wide network of clients. Our culture of evolution and empathy centers on long-term career growth and development opportunities in an environment that embraces your unique skills and experience.
Your Role and Responsibilities
Key Responsibilities
- Design and implement secure cloud architectures on AWS
- Develop and maintain Kubernetes clusters with a focus on security and compliance
- Utilize Docker and containerization to ensure secure application deployment
- Automate infrastructure provisioning and deployment using Ansible and Packer
- Leverage Terraform to manage infrastructure as code
- Integrate with GitLab CI/CD pipelines to ensure secure and efficient software delivery
- Collaborate with development teams to ensure Artifactory and Sonarqube are used to maintain secure and compliant artifact management and code quality
Required Technical and Professional Expertise
- AWS: Experience with AWS security services, including IAM, VPC, S3, and CloudTrail
- Kubernetes: Deep understanding of Kubernetes security features, including network policies, secret management, and RBAC
- Docker: Experience with Docker and containerization, including Docker Compose and Kubernetes integration
- Ansible: Knowledge of Ansible automation and configuration management
- Packer: Experience with Packer for image creation and management
- Terraform: Understanding of Terraform and infrastructure as code
- GitLab CI/CD: Experience with GitLab CI/CD pipelines and automation
- Artifactory: Knowledge of Artifactory for artifact management and distribution
- Sonarqube: Understanding of Sonarqube for code quality and security analysis
Preferred Technical and Professional Expertise
N/A